Evidence of Scale-Free Topology and Dynamics in Gene Regulatory Networks

dc.creatorShaw, Sandy
dc.date2003-01-05
dc.date2003-09-16
dc.date.accessioned2026-07-07T02:49:01Z
dc.date.available2026-07-07T02:49:01Z
dc.descriptionTemporal gene expression data (Wen, et. al.) was analyzed using the recently introduced inverse modeling technique of Embedded Complex Logistic Maps (ECLM). Preliminary results indicate scale-free structure in the gene regulatory network topology as well as in the network's energy dissipation characteristics. General agreement was found with other recent studies involving a dynamical model and analyses of other biochemical networks exhibiting scale-free topology. The highlights of our study are briefly outlined.
dc.description4 pages, 3 figures, presented at the ISCA 12th International Conference IASSE July 9-11, 2003, San Francisco, California (replaces earlier version posted Jan. 2003)
dc.identifierhttps://arxiv.org/abs/cond-mat/0301041
dc.identifierhttp://arxiv.org/abs/cond-mat/0301041
dc.identifierS. Shaw, "Evidence of Scale-Free Topology and Dynamics in Gene Regulatory Networks," in Proceedings of the ISCA 12th International Conference on Intelligent and Adaptive Systems and Software Engineering, pp. 37-40, 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20634
dc.subjectDisordered Systems and Neural Networks
dc.subjectBiological Physics
dc.subjectMolecular Networks
dc.titleEvidence of Scale-Free Topology and Dynamics in Gene Regulatory Networks
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